Triple
T3802542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Francisco Office of the City Attorney |
E91722
|
entity |
| Predicate | hasLegalAuthorityType |
P24006
|
FINISHED |
| Object | civil |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: civil | Statement: [San Francisco Office of the City Attorney, hasLegalAuthorityType, civil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLegalAuthorityType Context triple: [San Francisco Office of the City Attorney, hasLegalAuthorityType, civil]
-
A.
hasLegalAuthorityFrom
Indicates that one entity possesses formal legal power, rights, or authorization that originates from or is granted by another entity.
-
B.
legalAuthorityType
chosen
Indicates the specific kind or category of legal authority that governs, authorizes, or regulates an entity or action.
-
C.
hasPublicAuthorityType
Indicates that an entity possesses a specific type or category of public authority status or role.
-
D.
hasLegalRole
Indicates that an entity holds a specific legal capacity, status, or function in relation to another entity or context.
-
E.
legalAuthorityOver
Indicates that one entity has the recognized power or right to make, enforce, or adjudicate rules or decisions concerning another entity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69aed96354f48190a768966d6bd19b04 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee8db8a288190afd1e3b9dcf02e97 |
completed | March 9, 2026, 3:35 p.m. |
| PD | Predicate disambiguation | batch_69aee7461abc8190945716f4b93e1a18 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:15 p.m.